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Computational methods for constructing protein structure models from 3D electron microscopy maps

机译:从3D电子显微镜图构建蛋白质结构模型的计算方法

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摘要

Protein structure determination by cryo-electron microscopy (EM) has made significant progress in the past decades. Resolutions of EM maps have been improving as evidenced by recently reported structures that are solved at high resolutions close to 3 Å. Computational methods play a key role in interpreting EM data. Among many computational procedures applied to an EM map to obtain protein structure information, in this article we focus on reviewing computational methods that model protein three-dimensional (3D) structures from a 3D EM density map that is constructed from two-dimensional (2D) maps. The computational methods we discuss range from de novo methods, which identify structural elements in an EM map, to structure fitting methods, where known high resolution structures are fit into a low-resolution EM map. A list of available computational tools is also provided.
机译:在过去的几十年中,通过低温电子显微镜(EM)进行蛋白质结构测定已取得了重大进展。 EM贴图的分辨率一直在提高,最近报道的结构证明了这一点,这些结构已以接近3Å的高分辨率进行了解析。计算方法在解释EM数据中起关键作用。在应用于EM图以获取蛋白质结构信息的许多计算程序中,本文重点关注从基于二维(2D)的3D EM密度图建模蛋白质三维(3D)结构的计算方法。地图。我们讨论的计算方法包括从新方法(确定EM映射中的结构元素)到结构拟合方法(其中将已知的高分辨率结构拟合到低分辨率EM映射中)。还提供了可用的计算工具列表。

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